The Relationship between the Educational Beliefs and Learning Approaches

2015 ◽  
Vol 22 (2) ◽  
pp. 301-308
Author(s):  
Senar Alkin Sahin
Keyword(s):  
Educational Beliefs ◽  
Learning Approaches ◽  
The Relationship

scholarly journals Instructor facilitation mediates students’ negative perceptions of active learning instruction

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261706
Author(s):  
Elizabeth S. Park ◽  
Ashley Harlow ◽  
Amir AghaKouchak ◽  
Brigette Baldi ◽  
Nancy Burley ◽  
...  
Keyword(s):  
Active Learning ◽  
Student Perceptions ◽  
Negative Relationship ◽  
Task Value ◽  
Observation Data ◽  
Learning Approaches ◽  
Perceived Utility ◽  
Instructor Effectiveness ◽  
The Relationship ◽  
And Task

Studies have demonstrated students’ resistance to active learning, despite evidence illustrating that their learning is improved relative to students in lectures. Specifically, while active learning and group work are effective at engaging students in their learning process, studies report that students’ perceptions of active learning approaches are not always positive. What remains underexplored is whether students’ perceptions of active learning improve with effective instructor facilitation and whether there exists differential perceptions between racially minoritized students and represented students. Here, we estimate students’ perceptions of effective instructor facilitation as the mediator in the relationship between active learning and perceptions of learning and perceived utility for class activities (task value). Then, we examine differences by racial identification. We collected classroom observation data to empirically categorize courses as active learning or lecture-based and surveyed 4,257 college students across 25 STEM classrooms at a research-intensive university. We first examined the relationship between active learning on student perceptions and found a negative relationship between active learning and perceptions of learning and task value for both racially minoritized students and represented students. Next, we assessed whether students’ perceptions of instructor effectiveness in facilitating group activities mediate these negative relationships. We found that, on average, students of all races were more likely to positively perceive instructor facilitation in active learning classes relative to lectures. In turn, the positive perceptions of instructor facilitation partially suppressed the negative relationship between active learning and perceptions of learning and task value. These results demonstrate that effective instructor facilitation can influence both students’ self-assessment of learning and perceived utility of the learning activities, and underscores the importance of developing pedagogical competence among college instructors.

scholarly journals Research Trend of Causal Machine Learning Method: A Literature Review

2020 ◽  
Vol 9 (2) ◽  
pp. 111-118
Author(s):  
Shindy Arti ◽  
Indriana Hidayah ◽  
Sri Suning Kusumawardhani
Keyword(s):  
Machine Learning ◽  
Learning System ◽  
Research Trend ◽  
Learning Approaches ◽  
Algorithm Performance ◽  
Combination Technique ◽  
Causal Impact ◽  
Learning Research ◽  
The Relationship ◽  
Selection Of

Machine learning is commonly used to predict and implement  pattern recognition and the relationship between variables. Causal machine learning combines approaches for analyzing the causal impact of intervention on the result, asumming a considerably ambigous variables. The combination technique of causality and machine learning is adequate for predicting and understanding the cause and effect of the results. The aim of this study is a systematic review to identify which causal machine learning approaches are generally used. This paper focuses on what data characteristics are applied to causal machine learning research and how to assess the output of algorithms used in the context of causal machine learning research. The review paper analyzes 20 papers with various approaches. This study categorizes data characteristics based on the type of data, attribute value, and the data dimension. The Bayesian Network (BN) commonly used in the context of causality. Meanwhile, the propensity score is the most extensively used in causality research. The variable value will affect algorithm performance. This review can be as a guide in the selection of a causal machine learning system.

scholarly journals Curriculum Semantic Retrieval System based on Distant Supervision

2021 ◽  
Author(s):  
Qingwen Tian ◽  
Shixing Zhou ◽  
Yu Cheng ◽  
Jianxia Chen ◽  
Yi Gao ◽  
...  
Keyword(s):  
Semantic Network ◽  
Relation Extraction ◽  
Knowledge Graph ◽  
Learning Approaches ◽  
Semantic Retrieval ◽  
Model Based ◽  
Distant Supervision ◽  
Relationship Extraction ◽  
Extraction Model ◽  
The Relationship

Knowledge Graph is a semantic network that reveals the relationship between entities, which construction is to describe various entities, concepts and their relationships in the real world. Since knowledge graph can effectively reveal the relationship between the different knowledge items, it has been widely utilized in the intelligent education. In particular, relation extraction is the critical part of knowledge graph and plays a very important role in the construction of knowledge graph. According to the different magnitude of data labeling, entity relationship extraction tasks of deep learning can be divided into two categories: supervised and distant supervised. Supervised learning approaches can extract effective entity relationships. However, these approaches rely on labeled data heavily resulting in the time-consuming and laborconsuming. The distant supervision approach is widely concerned by researchers because it can generate the entity relation extraction automatically. However, the development and application of the distant supervised approach has been seriously hindered due to the noises, lack of information and disequilibrium in the relation extraction tasks. Inspired by the above analysis, the paper proposes a novel curriculum points relationship extraction model based on the distant supervision. In particular, firstly the research of the distant supervised relationship extraction model based on the sentence bag attention mechanism to extract the relationship of curriculum points. Secondly, the research of knowledge graph construction based on the knowledge ontology. Thirdly, the development of curriculum semantic retrieval platform based on Web. Compared with the existing advanced models, the AUC of this system is increased by 14.2%; At the same time, taking "big data processing" course in computer field as an example, the relationship extraction result with F1 value of 88.1% is realized. The experimental results show that the proposed model provides an effective solution for the development and application of knowledge graph in the field of intelligent education.

Examination of prospective teachers' educational beliefs and attitudes towards educational history

2021 ◽  
Vol 9 (4) ◽  
pp. 884-906
Author(s):  
Rafet Aydin ◽  
Keyword(s):  
Prospective Teachers ◽  
Teacher Candidates ◽  
Attitude Scale ◽  
Education History ◽  
Educational Beliefs ◽  
Educational History ◽  
History Of ◽  
Teachers Attitudes ◽  
The Relationship ◽  
Beliefs And Attitudes

The aim of this research is to reveal the educational beliefs of prospective teachers and their attitudes towards the History of Education course and the relationship between them. This research aimed to determine the opinions of prospective teachers about their future profession and to make suggestions about teacher training. The research was designed in the survey model and the relational survey model was used to determine the relationship between the variables. The sample of the study consisted of a total of 453 teacher candidates, 90 of whom were male and 363 were female. The data of the research were collected by using the "Educational Beliefs Scale" and "Attitude Scale Towards Turkish Education History Course". The data were analyzed with computer package programs. In line with the educational beliefs scale used in the research, it was revealed that the educational beliefs of the teacher candidates were 'Existentialism', 'Progressivism', 'Perennialism', 'Reconstructionism' and 'Essentialism', respectively. According to the data obtained from the scale of attitude towards education history, it was concluded that prospective teachers’ attitudes towards education history are high. Finally, it was concluded that there is a moderate, positive, and significant relationship between the educational beliefs of the prospective teachers and their attitudes towards Education History.

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